Determining the risk-factors for molecular clustering of drug-resistant tuberculosis in South Africa

被引:1
作者
Said, Halima [1 ]
Kachingwe, Elizabeth [1 ]
Gardee, Yasmin [1 ]
Bhyat, Zaheda [1 ]
Ratabane, John [1 ]
Erasmus, Linda [2 ]
Lebaka, Tiisetso [3 ]
van der Meulen, Minty [1 ]
Gwala, Thabisile [1 ]
Omar, Shaheed [1 ]
Ismail, Farzana [1 ]
Ismail, Nazir [1 ]
机构
[1] Natl Inst Communicable Dis, Ctr TB, Moderfontein Rd, ZA-2131 Johannesburg, South Africa
[2] Natl Inst Communicable Dis, Ctr Enter Dis, Johannesburg, South Africa
[3] Natl Inst Communicable Dis, Div Surveillance & Outbreak Response, Johannesburg, South Africa
关键词
Clustering; Transmission; Risk-factors; Drug resistant TB; South Africa; MYCOBACTERIUM-TUBERCULOSIS; WESTERN-CAPE; EPIDEMIOLOGY; TRANSMISSION; PREVALENCE;
D O I
10.1186/s12889-023-17234-x
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
BackgroundDrug-resistant tuberculosis (DR-TB) epidemic is driven mainly by the effect of ongoing transmission. In high-burden settings such as South Africa (SA), considerable demographic and geographic heterogeneity in DR-TB transmission exists. Thus, a better understanding of risk-factors for clustering can help to prioritise resources to specifically targeted high-risk groups as well as areas that contribute disproportionately to transmission.MethodsThe study analyzed potential risk-factors for recent transmission in SA, using data collected from a sentinel molecular surveillance of DR-TB, by comparing demographic, clinical and epidemiologic characteristics with clustering and cluster sizes. A genotypic cluster was defined as two or more patients having identical patterns by the two genotyping methods used. Clustering was used as a proxy for recent transmission. Descriptive statistics and multinomial logistic regression were used.ResultThe study identified 277 clusters, with cluster size ranging between 2 and 259 cases. The majority (81.6%) of the clusters were small (2-5 cases) with few large (11-25 cases) and very large (>= 26 cases) clusters identified mainly in Western Cape (WC), Eastern Cape (EC) and Mpumalanga (MP). In a multivariable model, patients in clusters including 11-25 and >= 26 individuals were more likely to be infected by Beijing family, have XDR-TB, living in Nelson Mandela Metro in EC or Umgungunglovo in Kwa-Zulu Natal (KZN) provinces, and having history of imprisonment. Individuals belonging in a small genotypic cluster were more likely to infected with Rifampicin resistant TB (RR-TB) and more likely to reside in Frances Baard in Northern Cape (NC).ConclusionSociodemographic, clinical and bacterial risk-factors influenced rate of Mycobacterium tuberculosis (M. tuberculosis) genotypic clustering. Hence, high-risk groups and hotspot areas for clustering in EC, WC, KZN and MP should be prioritized for targeted intervention to prevent ongoing DR-TB transmission.
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